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McFatter, Robert M.; Gollob, Harry F. – Educational and Psychological Measurement, 1986
Correct simple formulas are provided for the value of phi needed to use the commonly available Pearson and Hartley power charts in determining the power of hypothesis tests involving simple degree-of-freedom comparisons in the fixed effects analysis of variance. (LMO)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Power (Statistics)
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Klayman, Joshua; Ha, Young-Won – Psychological Review, 1987
It is proposed that many phenomena of human hypothesis testing can be understood in terms of a general positive test strategy. With this strategy, there is a tendency to test cases that are expected to have the property of interest rather than those expected to lack that property. (Author/LMO)
Descriptors: Cognitive Processes, Concept Formation, Feedback, Heuristics
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Mathews, Robert C.; And Others – Journal of Experimental Education, 1985
The hypothesis testing model is the most dominant model of adult concept learning. Based on task performance, subjects in the experiment were categorized into three levels of concept attainment. Results suggested the hypothesis testing model adequately reflected the performance of only the most successful subjects. (Author/DWH)
Descriptors: Cognitive Processes, Concept Formation, Higher Education, Hypothesis Testing
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Toothaker, Larry E.; And Others – Journal of Educational Statistics, 1983
Several methods have been proposed for the analysis of data from single-subject research settings. This research focuses on two methods which have been proposed in previous articles. Criticisms of the methods are presented along with recommendations for practice. (Author/JKS)
Descriptors: Analysis of Variance, Case Studies, Correlation, Hypothesis Testing
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Grieve, A. P. – Psychometrika, 1984
The locally best invariant test statistic for testing sphericity of normal distributions is shown to be a simple function of the Box/Geisser - Greenhouse degrees of freedom correction factor in a repeated measures design. Tables of the critical values of the Box/Geiser - Greenhouse correction factor are given. (Author/BW)
Descriptors: Goodness of Fit, Hypothesis Testing, Research Design, Research Methodology
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Fowler, Robert L. – Educational and Psychological Measurement, 1984
This study compared two approximations for normalizing noncentral F distributions: one based on the square root of the chi-square distribution (SRA), the other derived from a cube root of the chi-square distribution (CRA). The CRA was superior, and generally provided an excellent approximation for noncentral F. (Author/BW)
Descriptors: Estimation (Mathematics), Hypothesis Testing, Mathematical Formulas, Probability
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Maia, M. J. F.; Maia, M. D. – Journal of Documentation, 1984
It is shown that there is no ambiguity in Bradford's theory of distribution. Starting with two basic postulates laid down by Bradford, a mathematical expression is derived such that its curve agrees with the experimentally plotted data for periodicals in fields of applied geophysics and lubrication. Five references are listed. (Author/EJS)
Descriptors: Equations (Mathematics), Geophysics, Graphs, Hypothesis Testing
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Anderson, Harry E., Jr.; And Others – Journal of Experimental Education, 1984
A sampling subspace in hypothesis testing where Type II error is made for completely illogical reasons from the standpoint of probability is described. The case of unequal probabilities of populations or conditions is also considered. (Author/BS)
Descriptors: Hypothesis Testing, Maximum Likelihood Statistics, Probability, Sampling
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Jennings, Earl; Green, Janet L. – Journal of Experimental Education, 1984
The authors argue that a parameterization in terms of cell means is a useful conceptual device for resolving problems inherent in the nonorthogonal analysis of variance. They demonstrate their argument by considering two widely-used methods for testing main effects. (Author/BW)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Research Design
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Boyer, John E., Jr.; And Others – Journal of Educational Statistics, 1983
New tests for comparing the strength of association between a variable and each of two potential predictor variables are proposed and compared to an existing test in a simulation study. Recommendations for use are made. (Author/JKS)
Descriptors: Correlation, Hypothesis Testing, Nonparametric Statistics, Predictive Validity
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Russell, V. Jean – Australian Journal of Education, 1976
The speech products of 104 young adult Melbourne males were analyzed in order to determine whether the linguistic dimensions of the speech product bear a necessary relationship to the cognitive dimensions. (Editor)
Descriptors: Cognitive Measurement, Cognitive Processes, Hypothesis Testing, Language Programs
Jacob, P. – Langages, 1976
After presenting a counter-example to Popper's thesis against induction, the importance is stressed of reinforcing the degree of confirmation of a hypothesis. (Text is in French.) (CDSH/AM)
Descriptors: Deduction, Epistemology, Hypothesis Testing, Induction
Kennedy, Charlotte A. – 2002
The use of and emphasis on statistical significance testing has pervaded educational and behavioral research for many decades in spite of criticism by prominent researchers in this field. Much of the controversy is caused by lack of understanding or misinterpretations. This paper reviews criticisms of statistical significance testing and discusses…
Descriptors: Educational Research, Hypothesis Testing, Research Methodology, Sampling
Rochowicz, John A. – 1999
The use of technology such as computers and programmable calculators enables students to find p-values and conduct tests of hypotheses in many different ways. Comprehension and interpretation of a research problem become the focus for statistical analysis. This paper describes how to calculate chisquare statistics and p-values for statistical…
Descriptors: Chi Square, Educational Technology, Higher Education, Hypothesis Testing
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Shine, Lester C. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Hypothesis Testing, Research Methodology, Research Problems
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